Jason Hataye

1.6k total citations
12 papers, 1.2k citations indexed

About

Jason Hataye is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, Jason Hataye has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Virology and 4 papers in Infectious Diseases. Recurrent topics in Jason Hataye's work include Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (6 papers) and T-cell and B-cell Immunology (4 papers). Jason Hataye is often cited by papers focused on Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (6 papers) and T-cell and B-cell Immunology (4 papers). Jason Hataye collaborates with scholars based in United States, New Zealand and France. Jason Hataye's co-authors include Marc K. Jenkins, James Moon, Cavan Reilly, Alexander Khoruts, Marion Pepper, Traci Zell, Hunghao Chu, James B. McLachlan, Antonio J. Pagán and Andrea Itano and has published in prestigious journals such as Science, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Jason Hataye

12 papers receiving 1.1k citations

Peers

Jason Hataye
Janet Lineberger United States
Timothy J. Colby United States
Nicole Prada United States
Yongnian Sun United States
Jason Hataye
Citations per year, relative to Jason Hataye Jason Hataye (= 1×) peers Shiro Shibayama

Countries citing papers authored by Jason Hataye

Since Specialization
Citations

This map shows the geographic impact of Jason Hataye's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason Hataye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Hataye more than expected).

Fields of papers citing papers by Jason Hataye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Hataye. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason Hataye. The network helps show where Jason Hataye may publish in the future.

Co-authorship network of co-authors of Jason Hataye

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Hataye. A scholar is included among the top collaborators of Jason Hataye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Hataye. Jason Hataye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ambrozak, David R., Catherine Liu, Jason Hataye, et al.. (2020). Tri-functional T-cell engagers target immune checkpoint inhibitors PD-1 and TIGIT to enhance CD8 effector T-cell functions in chronically SHIV-infected rhesus macaques. The Journal of Immunology. 204(1_Supplement). 169.31–169.31. 1 indexed citations
2.
Hataye, Jason, Joseph P. Casazza, Katharine Best, et al.. (2019). Principles Governing Establishment versus Collapse of HIV-1 Cellular Spread. Cell Host & Microbe. 26(6). 748–763.e20. 28 indexed citations
3.
Gay, Cynthia L., Ronald J. Bosch, Justin Ritz, et al.. (2017). Clinical Trial of the Anti-PD-L1 Antibody BMS-936559 in HIV-1 Infected Participants on Suppressive Antiretroviral Therapy. The Journal of Infectious Diseases. 215(11). 1725–1733. 180 indexed citations
4.
Pegu, Amarendra, Mangaiarkarasi Asokan, Lan Wu, et al.. (2015). Activation and lysis of human CD4 cells latently infected with HIV-1. Nature Communications. 6(1). 8447–8447. 75 indexed citations
5.
Hataye, Jason, Joseph P. Casazza, David R. Ambrozak, et al.. (2015). Sustained HIV release by single persisting CD4 + T cells during latency disruption. Journal of Virus Eradication. 1. 5–6. 2 indexed citations
6.
Moon, James, Hunghao Chu, Jason Hataye, et al.. (2009). Tracking epitope-specific T cells. Nature Protocols. 4(4). 565–581. 231 indexed citations
7.
Hataye, Jason, James Moon, Alexander Khoruts, Cavan Reilly, & Marc K. Jenkins. (2006). Naïve and Memory CD4 + T Cell Survival Controlled by Clonal Abundance. Science. 312(5770). 114–116. 279 indexed citations
8.
Catron, Drew M., et al.. (2006). CD4+ T cells that enter the draining lymph nodes after antigen injection participate in the primary response and become central–memory cells. The Journal of Experimental Medicine. 203(4). 1045–1054. 131 indexed citations
9.
Sherman, Michael P., Carlos M. C. de Noronha, Jason Hataye, et al.. (2003). Nuclear Export of Vpr Is Required for Efficient Replication of Human Immunodeficiency Virus Type 1 in Tissue Macrophages. Journal of Virology. 77(13). 7582–7589. 37 indexed citations
10.
Sperandio, David, Anthony R. Gangloff, Joane Litvak, et al.. (2002). Highly potent non-peptidic inhibitors of the HCV NS3/NS4A serine protease. Bioorganic & Medicinal Chemistry Letters. 12(21). 3129–3133. 29 indexed citations
11.
Katz, B.A., Kyle Elrod, Christine Luong, et al.. (2001). A novel serine protease inhibition motif involving a multi-centered short hydrogen bonding network at the active site11Edited by D. Rees. Journal of Molecular Biology. 307(5). 1451–1486. 61 indexed citations
12.
Verner, Erik, B.A. Katz, Jeffrey R. Spencer, et al.. (2001). Development of Serine Protease Inhibitors Displaying a Multicentered Short (<2.3 Å) Hydrogen Bond Binding Mode:  Inhibitors of Urokinase-Type Plasminogen Activator and Factor Xa. Journal of Medicinal Chemistry. 44(17). 2753–2771. 111 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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